Chaitanya Pallerla, a graduate student in food science, and assistant professor Dongyi Wang are correctly identifying chewier sections of chicken known as ...

Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...

Please note that classification priorities can change quickly, and the expected dates of completion are only indicative at the time of publication. There is high demand for classification assessments, ...

Abstract: Machine learning and other computational methods have been playing key roles in biological studies as essential tools for handling and analyzing genomics data. In recent years, we have been ...

This repository contains a simple Binary Classification model for Cloth Front vs Back Classes. After training, inference is done using FastAPI.

Ph.D., the study's senior author and a professor of Biostatistics and Digital Pathology. "MISO addresses a huge data challenge by enabling simultaneous analysis of all spatial -omics modalities ...

Study lead and corresponding author, Luohua Jiang, MD, Ph.D., professor of epidemiology and biostatistics at UC ... in complications," Jiang said. Using data from the Indian Health Service ...

Abstract: Dynamic ensemble has significantly greater potential space to improve the classification of imbalanced data compared to static ensemble. However, dynamic ensemble schemes are far less ...

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT ...

Its practitioners use statistical tools to conduct data analysis for companies ... including principal components, discrimination, classification procedures, and clustering techniques. Emphasis on how ...